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Section A: Pure Mathematics [40 marks]
Question 1. System of Linear Equations
Solution. (a) Using the question,
Solving the system of linear equations, .
(b) Since Sam came second and every player scored a different number of points, Sam scored fewer than Pritti’s points but more than Quentin’s
points, i.e.
points. Let
denote the number of car, train, and boat tokens respectively that Sam has. Hence,
Furthermore, we are given that , so that
By fixing for simplicity, we must have
. Similarly,
and
.
By trial-and-error, ,
,
works, with
distinct and
. Since there is only one solution, Sam had
car tokens,
train tokens, and
boat tokens.
Question 2. Vectors
Solution. (a) Firstly,
Since and
are collinear, we have
Hence,
(b) Firstly,
Since :
(c) Hence,
Therefore the required angle is given by
Question 3. Differential Equations
Solution. (a) By the method of separable variables,
Since the initial condition is ,
Therefore, , where
.
(b) (i) By the graph (these values correspond with
).

(b) (ii) We first note that the graph of is defined on all of
, not just the domain
. By considering reflections about vertical lines, we observe that the lines of symmetry of
are all of the form
, where
is any integer (positive, zero, or negative). On the sketched domain
, these are
for
.
(b) (iii) Since is
-periodic,
Hence,
(c) Using the product rule and the chain rule,
where .
Question 4. Rate of Change
Solution. (a) Letting denote the time taken to fill the bowl,
(b) Using the chain rule,
At ,
(c) The total volume poured into the bowl after seconds is
Since , the required time taken is given by solving the equation:
(d) At ,
Solving the cubic equation, . Since
, we reject the first and last option and conclude
. By (c), this occurs at time
s, when water is being poured at the rate
.
Therefore,
Section B: Probability and Statistics [60 marks]
Question 5. Probability
Solution. (a) The total number of counters is . The probability that the counters are of the same colours is given by
Hence, the required probability is its complement .
(b) The first red counter is the -th counter taken if the first
counters are all non-red (there are
non-red counters) and the
-th counter is red. Hence, the required equation to solve is:
The left-hand side, using factorials, simplifies to
Hence, we need to solve the quadratic equation
Solving, yields
or
. Since at most
non-red counters can precede the first red counter,
, so that
.
Question 6. Normal Distribution
Solution. (a) Using the symmetry of the normal distribution,
(b) Since , we have
Using -scores,
(c) Using independence,
By algebra,
Since ,
Using -scores,
(d) Using complements,
Since by (c),
.
Question 7. Permutations and Combinations
Solution. (a) The total number of arrangements, including repetitions, is
(b) We first choose the start and end numbers, then place the third even number in the middle four spaces, and then permute the odd numbers:
(c) The total number of even-number groups (consisting of ) is
. Hence, the required total is
(d) We first count the number of arrangements where the even digits are all together and the odd digits are all together:
The required probability is given by a conditional probability as follows:
Question 8. Correlation and Linear Regression
Solution. (a) Since , there is a weak positive linear correlation between the best performances of the athletes in the high jump and long jump events. This is consistent with the scatter diagram, where the points do not lie close to a straight line.
(b) (i) The diagram suggests that there is a positive, though non-linear, correlation between and
, where
increases at an increasing rate as
increases.

(ii) (A) For the model , we obtain a correlation coefficient of
, and for the model
we obtain a correlation coefficient of
. Since
(i.e.
is closer to
than
), the model
is a better fit to the data.
(ii) (B) The regression equation is
(iii) (A) At ,
(iii) (B) Firstly, since is close to
, the linear correlation between
and
is strongly positive. Secondly,
lies within the range of the data, so the estimate is an interpolation. Hence, the estimate is reliable.
Question 9. Binomial Distribution
Solution. (a) The two assumptions are as follows:
- The probability that a randomly chosen refrigerator is faulty is constant.
- The faultiness of any refrigerator is independent of other refrigerators.
(b) Since , the required probability is
(c) Let denote the number of days in a
-day working week, on which Alan finds more than one faulty refrigerator. The required probability is
(d) Since , let
denote the number of faulty refrigerators that Alan finds in total, in a
-day work week. Then the required probability is
(e) Since and
are independent, the required probability is given by three cases:
Question 10. Flour-Production
Solution. (a) In the question, denotes the mass, in kg, of packets produced by Machine
, and
denotes the mass, in kg, of packets produced by Machine
. Since the machines are different and not related in general, the masses of packets of flour produced would also not affect one another. Therefore,
are independent.
(b) Let denote the mass of a randomly chosen packet of flour produced by Machine
. Let
denote the mass of a randomly chosen packet of flour produced by Machine
. Then
Hence, the required probability is
(c) Defining the random variable ,
Hence, , so that the required probability is
(d) Let denote the mean mass of a packet of flour, in kg, produced by the adjusted Machine
. Then the null hypothesis
and the alternative hypothesis
are given as follows:
(e) Let and
denote the unbiased estimates of the population mean and variance of the relevant masses. Then
and
(f) Suppose holds. Since the sample size
is sufficiently large, by the central limit theorem,
The test statistic is . Since we are conducting a two-tailed test, the required
-value is given by
Since , there is sufficient evidence to reject
and conclude that the mean mass of packets produced by the adjusted Machine
differs from
kg.
(g) The distribution of the masses after the adjustment is unknown. With a sample of fewer than packets, the sample may be too small for the central limit theorem to apply, so
may not be approximately normal and the
-value calculated in (f) may be inaccurate.
(h) A sample that is not chosen randomly may not be representative of all packets produced by the adjusted Machine , so the sample mean may be biased. Furthermore, the masses in such a sample may not be independent of one another, so that
may not follow a normal distribution, even approximately.
—Joel Kindiak, 7 Nov 25, 1522H
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